Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (17): 212-217.DOI: 10.3778/j.issn.1002-8331.1603-0116

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Study of multi-window binarization algorithm for image processing

DUAN Suolin, ZHU Fang, YAN Xiang   

  1. Robotics Institute of Changzhou University, Changzhou, Jiangsu 213164, China
  • Online:2017-09-01 Published:2017-09-12


段锁林,朱  方,严  翔   

  1. 常州大学 机器人研究所,江苏 常州 213164

Abstract: The traditional binarization algorithms of image processing have some disadvantages like losing image details, introducing some noise, costing too much time. Therefore, a multi-window binarization algorithm is proposed in this paper. Firstly, the gray image is simply operated by using multi-window template respectively. Secondly, the obtained binary images under the different windows processed  are comprehensively judged. Finally, the logical value of each pixel is got. Compared with the classical binarization algorithms, the simulation results based on MATLAB demonstrate that this proposed method is simple, fast and robust.

Key words: binary image, multi-window binarization, logical value, robust

摘要: 常用的全局二值法和局部二值法算法存在细节丢失、噪声引入、运算时间过长等弊端。为此提出了一种多窗口图像二值化算法,采用多窗口模板分别对图像进行简单二值化处理,对不同窗口处理下获得的二值图进行综合判断,最终确定每个像素点的逻辑值。通过MATLAB仿真,与常用二值化算法进行比较,验证提出的多窗口图像二值化算法具有处理简单、运算速度快、鲁棒性较好等优点。

关键词: 二值化, 多窗口, 逻辑值, 鲁棒性